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HawkEye 360 predicts vessel risk using the Deep Graph Library and Amazon Neptune

This post is co-written by Ian Avilez and Tim Pavlick from HawkEye 360. HawkEye 360 is a commercial radio frequency (RF) constellation, data, and analytics provider. Their signals of interest […]







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Train and deploy deep learning models using JAX with Amazon SageMaker

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at any scale. Typically, you […]







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At the crossroads of language, technology, and empathy

Rujul Gandhi’s love of reading blossomed into a love of language at age 6, when she discovered a book at a garage sale called “What’s Behind the Word?” With forays […]




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Enabling AI-driven health advances without sacrificing patient privacy

There’s a lot of excitement at the intersection of artificial intelligence and health care. AI has already been used to improve disease treatment and detection, discover promising new drugs, identify […]




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Deep learning helps predict traffic crashes before they happen

Today’s world is one big maze, connected by layers of concrete and asphalt that afford us the luxury of navigation by vehicle. For many of our road-related advancements — GPS […]




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Detect defects in automotive parts with Amazon Lookout for Vision and Amazon SageMaker

According to a recent study, defective products cost industries over $2 billion from 2012–2017. Defect detection within manufacturing is an important business use case, especially in high-value product industries like […]




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Build a system for catching adverse events in real-time using Amazon SageMaker and Amazon QuickSight

Social media platforms provide a channel of communication for consumers to talk about various products, including the medications they take. For pharmaceutical companies, monitoring and effectively tracking product performance provides […]




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Create a cross-account machine learning training and deployment environment with AWS Code Pipeline

A continuous integration and continuous delivery (CI/CD) pipeline helps you automate steps in your machine learning (ML) applications such as data ingestion, data preparation, feature engineering, modeling training, and model […]